Hongning Wang
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Management Science and Operations Research top 2%
- Infectious Diseases top 5%
- Molecular Biology
- Co-authors
- ChengXiang ZhaiYue LuQingyun WuHuazheng WangYang SongXiaodong HeRyen W. WhiteWasi Uddin Ahmad
- Topics
- Topic Modeling (32 papers)Recommender Systems and Techniques (24 papers)Advanced Bandit Algorithms Research (21 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Hongning Wang
135 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 1.6k
- Information Systems 1.1k
- Management Science and Operations Research 306
- Infectious Diseases 282
- Molecular Biology 261
Countries citing papers authored by Hongning Wang
This map shows the geographic impact of Hongning Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hongning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongning Wang more than expected).
Fields of papers citing papers by Hongning Wang
This network shows the impact of papers produced by Hongning Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hongning Wang. The network helps show where Hongning Wang may publish in the future.
Co-authorship network of co-authors of Hongning Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Hongning Wang. A scholar is included among the top collaborators of Hongning Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongning Wang. Hongning Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 22 | |
| 14 | 18 | |
| 15 | A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation | 4 |
| 16 | Bandit Learning with Implicit Feedback | 9 |
| 17 | Optimization of fermentation conditions for producing neutral cellulase from a high-yield Bacillus megaterium genetic engineering bacteria. | 1 |
| 18 | Exploiting Structured Ontology to Organize Scattered Online Opinions | 12 |
| 19 | Detection of Sulfonamides-Resistant Genes of Pathogenic Salmonella and E.coli by Duplex PCR | 2 |
| 20 | Research on detection of tetracycline resistance gene (tetC) of pathogenic Salmonella from swine by PCR and nucleic acid probe | 2 |
About Hongning Wang
Hongning Wang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 144 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Recommender Systems and Techniques (24 papers) and Advanced Bandit Algorithms Research (21 papers). The work is most often cited by research in Information Systems (1.1k citations), Artificial Intelligence (1.6k citations) and Management Science and Operations Research (306 citations). Hongning Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include ChengXiang Zhai, Yue Lu, Yue Lu, Qingyun Wu, Huazheng Wang, Yang Song, Xiaodong He, Ryen W. White, Wasi Uddin Ahmad and Wei Chu. Their work appears in journals such as Bioinformatics, Genome biology and Frontiers in Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.